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Development of Computational Tools for Optimal Identification of Biological NetworksEPA Grant Number: R832721C003
Subproject: this is subproject number 003 , established and managed by the Center Director under grant R832721
(EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
Center: New Jersey Research Center for Environmental Bioinformatics and Computational Toxicology
Center Director: Welsh, William J.
Title: Development of Computational Tools for Optimal Identification of Biological Networks
Investigators: Rabitz, Herschel
Current Investigators: Rabitz, Herschel , Androulakis, Ioannis , Floudas, Christodoulos , Georgopoulos, Panos G. , Ierapetritou, Marianthi , Tong, Weida , Welsh, William J.
Institution: Princeton University
Current Institution: Princeton University , Rutgers University , U.S. Food and Drug Administration , University of Medicine and Dentistry of New Jersey
EPA Project Officer: Pascual, Pasky
Project Period: October 1, 2005 through September 30, 2010
RFA: Computational Toxicology: Environmental Bioinformatics Research Center (2004) RFA Text | Recipients Lists
Research Category: Computational Toxicology , Health , Safer Chemicals
The Research Center will bring together a team of computational scientists, with diverse backgrounds in bioinformatics, cheminformatics and enviroinformatics, from UMDNJ, Rutgers, and Princeton Universities, and the USFDA’s Center for Toxicoinformatics. This team will address, in a systematic and integrative manner, multiple elements of the toxicant Source-to-Outcome sequence ( Investigational Area 1, as identified in the RFA) as well as develop cheminformatics tools for toxicant characterization ( Investigational Area 2, Predictive Models for Hazard Identification ). The computational tools to be developed through this effort will be extensively evaluated and refined through collaborative applications involving Center scientists as well as colleagues from the three universities and USEPA; particular emphasis will be on methods that enhance current quantitative risk assessment practices and reduce uncertainties.Publications and Presentations:
computational toxicology, toxicogenomics, bioinformatics, toxicoinformatics, proteomics, metabonomics, physiomics, cytomics, genomics, transcriptomics, enviroinformatics, cheminformatics, biologically based dose-response modeling, cross-species extrapolation, risk assessment,, Health, Scientific Discipline, ENVIRONMENTAL MANAGEMENT, Risk Assessments, Biochemistry, Environmental Monitoring, Biology, Risk Assessment, ecological risk assessment, risk, computational toxicology, toxicology, biopollution, environmental risks, chemical composition, human exposure, bioinformatics, toxicologic assessment, exposure assessment, human health risk
Main Center Abstract and Reports:
R832721 New Jersey Research Center for Environmental Bioinformatics and Computational Toxicology
Subprojects under this Center: (EPA does not fund or establish subprojects; EPA awards and manages the overall grant for this center).
R832721C001 Development and Application of the DORIAN (Dose-Response Information Analysis) System
R832721C002 Hepatocyte Metabolism Model for Xenobiotics
R832721C003 Development of Computational Tools for Optimal Identification of Biological Networks
R832721C004 Cheminformatics Tools for Toxicant Characterization
R832721C005 Optimization Tools for In Silico Structural Proteomics